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基于CIMISS的土壤水分质控应用研究
引用本文:王立俊,施晨晓,王旭,贺永兴,吴军. 基于CIMISS的土壤水分质控应用研究[J]. 计算机技术与发展, 2021, 0(4): 210-215
作者姓名:王立俊  施晨晓  王旭  贺永兴  吴军
作者单位:海南省气象信息中心;海南省南海气象防灾减灾重点实验室
基金项目:国家自然科学基金(41775011);海南省气象科技创新项目(HNQXQN201703)。
摘    要:气象资料业务系统MDOS(meteorological data operation system)的质控方法使用通用阈值去质控土壤水分数据,会漏检和误检出部分疑误数据,且疑误结果多以"未通过降水关系检查"为主,降低值班人员的数据审核效率.为了提高土壤水分质控效率,结合本地土壤特性,分析海南土壤水分历史数据,总结适合本...

关 键 词:全国综合气象信息共享平台  土壤水分  疑误数据  阈值选定  多重质控

Application Research of Quality Control of Soil Moisture Based on CIMISS
WANG Li-jun,SHI Chen-xiao,WANG Xu,HE Yong-xing,WU Jun. Application Research of Quality Control of Soil Moisture Based on CIMISS[J]. Computer Technology and Development, 2021, 0(4): 210-215
Authors:WANG Li-jun  SHI Chen-xiao  WANG Xu  HE Yong-xing  WU Jun
Affiliation:(Meteorological Information Center of Hainan Province,Haikou 570203,China;Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province,Haikou 570203,China)
Abstract:The general threshold is used in the quality control methods of MDOS(meteorological data operation system)to control soil moisture data so that some suspected data are missed and detected by mistake and most of suspected result are mainly failing the inspection of precipitation relationship which leads to data audit by duty staff with lower efficiency.The suitable threshold range parameters are summarized by considering local soil characteristics and analyzing the historical data of soil moisture in Hainan.With introducing inspection methods such as time-varying and time-continuity,an algorithm of Multiple Quality Control of Soil Moisture based on China Integrated Meteorological Information Service System is proposed to discover suspected data of soil moisture quickly and accurately by multiple quality control and the result are classified and displayed in the web page for the screening of personnel on duty.Compared with the existing quality control methods,the result of business trial showed that suspected data of soil moisture were screened accurately and effectively through MQCSM algorithm and were displayed on the monitoring platform for improving the efficiency of data audit by personnel on duty.
Keywords:CIMISS  soil moisture  suspected data  threshold selection  multiple quality control
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